Mobility Metrics for Philadelphia, Pennsylvania

These Mobility Metrics Data Tables are designed to help local leaders in every county and over 450 cities measure their communities’ status and progress towards increasing upward mobility and equity.

The Urban Institute’s Upward Mobility Framework identifies predictors that are strongly correlated with the likelihood that a community’s residents will be able to boost economic and social mobility from poverty. These predictors reflect five essential pillars that support upward mobility.



Pillar: Opportunity-Rich & Inclusive Neighborhoods

Predictor: Housing Affordability

Metric: Ratio of affordable and available housing units (per 100 households) with low-, very low-, and extremely low-income levels
Philadelphia, Pennsylvania
Ratio for low-income households 138.4
Ratio for very low-income households 120.5
Ratio for extremely low-income households 91.4
Quality Strong
Source: US Department of Housing and Urban Development Office of Policy Development and Research Fair Market Rents and Income Limits, FY 2021; US Census Bureau’s 2021 1-Year American Community Survey Public Use Microdata Sample (via IPUMS); Missouri Census Data Center Geocorr 2022: Geographic Correspondence Engine. (Time period: 2021)


Metric: Ratio of affordable and available housing units (per 100 households) with low-, very low-, and extremely low-income levels+
Philadelphia, Pennsylvania
Ratio for low-income households 138.4
Ratio for very low-income households 120.5
Ratio for extremely low-income households 91.4
Quality Strong
Source: US Department of Housing and Urban Development Office of Policy Development and Research Fair Market Rents and Income Limits, FY 2021; US Census Bureau’s 2021 1-Year American Community Survey Public Use Microdata Sample (via IPUMS); Missouri Census Data Center Geocorr 2022: Geographic Correspondence Engine. (Time period: 2021)
Notes: This metric reports the number of housing units affordable for households with low-incomes (below 80 percent of area median income, or AMI), very low-incomes (below 50 percent of AMI), and extremely low-incomes (below 30 percent of AMI) relative to every 100 households with these income levels. Income groups are defined for a local family of 4. Housing units are defined as affordable if the monthly costs do not exceed 30 percent of a household’s income. Values above 100 suggest that there are more affordable housing units than households with those income levels. Values below 100 indicate a shortage of affordable housing for households with those income levels. Housing units are counted as affordable for a given income level regardless of whether they are currently occupied by a household at that income level.

The Confidence Interval for this metric is not applicable.


Metric: Ratio of affordable and available housing units (per 100 households) with low-, very low-, and extremely low-income levels+
Year Philadelphia, Pennsylvania
Ratio for low-income households 2021 138.4
Ratio for very low-income households 2021 120.5
Ratio for extremely low-income households 2021 91.4
Quality 2021 Strong
Ratio for low-income households 2018 135.0
Ratio for very low-income households 2018 123.1
Ratio for extremely low-income households 2018 85.2
Quality 2018 Strong
Source: US Department of Housing and Urban Development Office of Policy Development and Research Fair Market Rents and Income Limits, FY 2018 & FY 2021; US Census Bureau’s 2018 & 2021 5-Year American Community Survey Public Use Microdata Sample (via IPUMS); Missouri Census Data Center Geocorr 2022: Geographic Correspondence Engine. (Time periods: 2014-18 & 2017-21)
Notes: This metric reports the number of housing units affordable for households with low-incomes (below 80 percent of area median income, or AMI), very low-incomes (below 50 percent of AMI), and extremely low-incomes (below 30 percent of AMI) relative to every 100 households with these income levels. Income groups are defined for a local family of 4. Housing units are defined as affordable if the monthly costs do not exceed 30 percent of a household’s income. Values above 100 suggest that there are more affordable housing units than households with those income levels. Values below 100 indicate a shortage of affordable housing for households with those income levels. Housing units are counted as affordable for a given income level regardless of whether they are currently occupied by a household at that income level.

The Confidence Interval for this metric is not applicable.


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Predictor: Housing stability

Metric: Number and share of public-school children who are ever homeless during the school year
Philadelphia, Pennsylvania
Number homeless 5,592
Share homeless 2.9%
Quality Strong
Source: US Department of Education Local Education Agency data, SY 2019-20 (via EDFacts Homeless Students Enrolled). (Time period: School Year 2019-20)



Metric: Number and share of public-school children who are ever homeless during the school year
Philadelphia, Pennsylvania
Number homeless 5,592
Lower/Upper bound (5,583, 5,601)
Share homeless 2.9%
Quality Strong
Source: US Department of Education Local Education Agency data, SY 2019-20 (via EDFacts Homeless Students Enrolled). (Time period: School Year 2019-20)
Notes: The number of homeless students is based on the number of children (age 3 through 12th grade) who are enrolled in public schools and whose primary nighttime residence at any time during a school year was a shelter, transitional housing, or awaiting foster care placement; unsheltered (e.g., a car, park, campground, temporary trailer, or abandoned building); a hotel or motel because of the lack of alternative adequate accommodations; or in housing of other people because of loss of housing, economic hardship, or a similar reason. The share is the percent of public-school students who are experiencing homelessness out of all public-school students.



Metric: Number and share of public-school children who are ever homeless during the school year
Year Philadelphia, Pennsylvania
Number homeless 2019 5,592
Lower/Upper bound 2019 (5,583, 5,601)
Share homeless 2019 2.9%
Quality 2019 Strong
Number homeless 2016 3,836
Lower/Upper bound 2016 (3,818, 3,854)
Share homeless 2016 2.0%
Quality 2016 Strong
Source: US Department of Education Local Education Agency data, SY 2018-19 & SY 2019-20 (via EDFacts Homeless Students Enrolled). (Time periods: School Years 2018-19 & 2019-20)
Notes: The number of homeless students is based on the number of children (age 3 through 12th grade) who are enrolled in public schools and whose primary nighttime residence at any time during a school year was a shelter, transitional housing, or awaiting foster care placement; unsheltered (e.g., a car, park, campground, temporary trailer, or abandoned building); a hotel or motel because of the lack of alternative adequate accommodations; or in housing of other people because of loss of housing, economic hardship, or a similar reason. The share is the percent of public-school students who are experiencing homelessness out of all public-school students. Data disaggregated by race/ethnicity became available for the first time in SY 2019-20.
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Predictor: Economic inclusion

Metric: Share of people experiencing poverty who live in high-poverty neighborhoods
Philadelphia, Pennsylvania
% in high poverty neighborhoods 27.5%
Quality Strong
Source: US Census Bureau’s 2021 5-Year American Community Survey. (Time period: 2017-21)


Metric: Share of people experiencing poverty who live in high-poverty neighborhoods+
Philadelphia, Pennsylvania
% in high poverty neighborhoods 27.5%
Quality Strong
Source: US Census Bureau’s 2021 5-Year American Community Survey. (Time period: 2017-21)
Notes: The share of a city’s or county’s residents living in poverty who also live in high-poverty neighborhoods (defined as census tracts). A high-poverty neighborhood is one in which over 40 percent of the residents live in poverty. People and families are classified as being in poverty if their income (before taxes and excluding capital gains or noncash benefits) is less than their poverty threshold, as defined by the US Census Bureau. Poverty thresholds vary by the size of the family and age of its members and are updated for inflation, but do not vary geographically.

The Confidence Interval for this metric is not applicable.


Metric: Share of people experiencing poverty who live in high-poverty neighborhoods+
Group Year Philadelphia, Pennsylvania
% in high poverty neighborhoods All 2021 27.5%, NA
Quality All 2021 Strong, NA
% in high poverty neighborhoods Black 2021 26.8%
Quality Black 2021 Strong
% in high poverty neighborhoods Black, Non-Hispanic 2021 NA
Quality Black, Non-Hispanic 2021 NA
% in high poverty neighborhoods Hispanic 2021 47.4%
Quality Hispanic 2021 Strong
% in high poverty neighborhoods Other Races and Ethnicities 2021 36.7%
Quality Other Races and Ethnicities 2021 Strong
% in high poverty neighborhoods Other races and ethnicities 2021 NA
Quality Other races and ethnicities 2021 NA
% in high poverty neighborhoods White 2021 NA
Quality White 2021 NA
% in high poverty neighborhoods White, Non-Hispanic 2021 10.2%
Quality White, Non-Hispanic 2021 Strong
% in high poverty neighborhoods White, Non-Hispanic, 2021 NA
Quality White, Non-Hispanic, 2021 NA
% in high poverty neighborhoods All 2018 34.6%
Quality All 2018 Strong
% in high poverty neighborhoods Black 2018 36.9%
Quality Black 2018 Strong
% in high poverty neighborhoods Black, Non-Hispanic 2018 NA
Quality Black, Non-Hispanic 2018 NA
% in high poverty neighborhoods Hispanic 2018 48.8%
Quality Hispanic 2018 Strong
% in high poverty neighborhoods Other Races and Ethnicities 2018 36.7%
Quality Other Races and Ethnicities 2018 Strong
% in high poverty neighborhoods White, Non-Hispanic 2018 18.5%
Quality White, Non-Hispanic 2018 Strong
Source: US Census Bureau’s 2018 & 2021 5-Year American Community Survey. (Time periods: 2014-18 & 2017-21)
Notes: The share of a city’s or county’s residents living in poverty who also live in high-poverty neighborhoods (defined as census tracts). A high-poverty neighborhood is one in which over 40 percent of the residents live in poverty. People and families are classified as being in poverty if their income (before taxes and excluding capital gains or noncash benefits) is less than their poverty threshold, as defined by the US Census Bureau. Poverty thresholds vary by the size of the family and age of its members and are updated for inflation, but do not vary geographically.

’Black’ includes Black Hispanics. ‘Other Races and Ethnicities’ includes those of races not explicitly listed and those of multiple races. Those who identify as other race or multiple races and Hispanic are counted in both the ‘Hispanic’ and ’Other Races and Ethnicities’ categories.

The Confidence Interval for this metric is not applicable.
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Predictor: Racial diversity

Metric: Index of people’s exposure to neighbors of different races and ethnicities
Philadelphia, Pennsylvania
% for Black, Non-Hispanic 31.7%
Quality Strong
% for Hispanic 60.9%
Quality Strong
% for Other Races and Ethnicities 80.9%
Quality Strong
% for White, Non-Hispanic 40.9%
Quality Strong
Source: US Census Bureau’s 2021 5-Year American Community Survey. (Time period: 2017-21)


Metric: Index of people’s exposure to neighbors of different races and ethnicities+
Philadelphia, Pennsylvania
% for Black, Non-Hispanic 31.7%
Quality Strong
% for Hispanic 60.9%
Quality Strong
% for Other Races and Ethnicities 80.9%
Quality Strong
% for White, Non-Hispanic 40.9%
Quality Strong
Source: US Census Bureau’s 2021 5-Year American Community Survey. (Time period: 2017-21)
Notes: A set of metrics constructed separately for each racial/ethnic group and reports the average share of that group’s neighbors who are members of other racial/ethnic groups. This is a type of exposure index. For example, an exposure index of 90.0% in the ‘% for Black, Non-Hispanic’ row means that the average Black, non-Hispanic resident has 90.0% of their neighbors within a census tract who have a different race/ethnicity than them. The higher the value, the more exposed to people of different races/ethnicities.

The Confidence Interval for this metric is not applicable.


Metric: Index of people’s exposure to neighbors of different races and ethnicities+
Year Philadelphia, Pennsylvania
% for Black, Non-Hispanic 2021 31.7%
Quality 2021 Strong
% for Hispanic 2021 60.9%
Quality 2021 Strong
% for Other Races and Ethnicities 2021 80.9%
Quality 2021 Strong
% for White, Non-Hispanic 2021 40.9%
Quality 2021 Strong
% for Black, Non-Hispanic 2018 30.8%
Quality 2018 Strong
% for Hispanic 2018 62.7%
Quality 2018 Strong
% for Other Races and Ethnicities 2018 81.8%
Quality 2018 Strong
% for White, Non-Hispanic 2018 38.6%
Quality 2018 Strong
Source: US Census Bureau’s 2018 & 2021 5-Year American Community Survey. (Time periods: 2014-18 & 2017-21)
Notes: A set of metrics constructed separately for each racial/ethnic group and reports the average share of that group’s neighbors who are members of other racial/ethnic groups. This is a type of exposure index. For example, an exposure index of 90.0% in the ‘% for Black, Non-Hispanic’ row means that the average Black, non-Hispanic resident has 90.0% of their neighbors within a census tract who have a different race/ethnicity than them. The higher the value, the more exposed to people of different races/ethnicities.

The Confidence Interval for this metric is not applicable.
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Predictor: Social Capital

Metric: Number of membership associations per 10,000 people
Philadelphia, Pennsylvania
Membership associations 7.5
Quality Strong
Source: US Census Bureau’s County Business Patterns Survey, 2020 and Population Estimation Program, 2016-20; Missouri Census Data Center Geocorr 2022: Geographic Correspondence Engine. (Time period: 2016-20)


Metric: Number of membership associations per 10,000 people+
Philadelphia, Pennsylvania
Membership associations 7.5
Quality Strong
Source: US Census Bureau’s County Business Patterns Survey, 2020 and Population Estimation Program, 2016-20; Missouri Census Data Center Geocorr 2022: Geographic Correspondence Engine. (Time period: 2016-20)
Notes: This metric measures the number of membership associations (as self-reported by businesses and organizations) per 10,000 people in a given community.

The Confidence Interval for this metric is not applicable.
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Predictor: Social Capital

Metric: Ratio of Facebook friends with higher socioeconomic status to Facebook friends with lower socioeconomic status (‘economic connectedness’)
Philadelphia, Pennsylvania
Economic connectedness 0.7
Quality Strong
Source: Opportunity Insights’ Social Capital Atlas, 2022. (Time period: 2022)


Metric: Ratio of Facebook friends with higher socioeconomic status to Facebook friends with lower socioeconomic status (‘economic connectedness’)+
Philadelphia, Pennsylvania
Economic connectedness 0.7
Quality Strong
Source: Opportunity Insights’ Social Capital Atlas, 2022. (Time period: 2022)
Notes: This measures the interconnectivity, by location, between people from different economic backgrounds to estimate “economic connectedness.” Specifically, the metric is twice the average share of high-socioeconomic status (SES) friends (e.g., individuals from households ranked in the top half of all income-earning households) among low-SES individuals (e.g., individuals from households ranked in the lower half of all US households based on income) in a given community. A metric value of 1 represents a community that is perfectly integrated across socioeconomic status, with half of all low-SES individuals’ friends being of high-SES.

The Confidence Interval for this metric is not applicable.
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Predictor: Transportation access

Metric: Transit trips index
Philadelphia, Pennsylvania
Transit trips 92.8
Quality Strong
Source: 2016 Location Affordability Index data based on 2013-15 Illinois vehicle miles traveled data; Longitudinal Employer-Household Dynamics Origin-Destination Employment Statistics data, 2013 & 2014; US Census Bureau’s 2016 5-Year American Community Survey (via HUD AFFH data). (Time period: 2012-16)


Metric: Transit trips index+
Philadelphia, Pennsylvania
Transit trips 92.8
Quality Strong
Source: 2016 Location Affordability Index data based on 2013-15 Illinois vehicle miles traveled data; Longitudinal Employer-Household Dynamics Origin-Destination Employment Statistics data, 2013 & 2014; US Census Bureau’s 2016 5-Year American Community Survey (via HUD AFFH data). (Time period: 2012-16)
Notes: The number of public transit trips taken annually by a three-person single-parent family with income at 50 percent of the Area Median Income for renters. Values are percentile ranked nationally, with values ranging from 0 to 100 for each census tract. To get a value for the community, we generate a population-weighted average of census tracts within the community. The higher the value, the more likely residents utilize public transit in the community.

The Confidence Interval for this metric is not applicable.


Metric: Transit trips index+
Group Year Philadelphia, Pennsylvania
Transit trips All 2016 92.8
Quality All 2016 Strong
Transit trips Majority Non-White 2016 93.9
Quality Majority Non-White 2016 Strong
Transit trips Majority White, Non-Hispanic 2016 89.4
Quality Majority White, Non-Hispanic 2016 Strong
Transit trips Mixed Race and Ethnicity 2016 92.2
Quality Mixed Race and Ethnicity 2016 Strong
Source: 2016 Location Affordability Index data based on 2013-15 Illinois vehicle miles traveled data; Longitudinal Employer-Household Dynamics Origin-Destination Employment Statistics data, 2013 & 2014; US Census Bureau’s 2016 5-Year American Community Survey (via HUD AFFH data). (Time period: 2012-16)
Notes: The number of public transit trips taken annually by a three-person single-parent family with income at 50 percent of the Area Median Income for renters. Values are percentile ranked nationally, with values ranging from 0 to 100 for each census tract. To get a value for the community, we generate a population-weighted average of census tracts within the community. The higher the value, the more likely residents utilize public transit in the community.

‘Majority’ means that at least 60% of residents in a census tract are members of the specified group.

The Confidence Interval for this metric is not applicable.


Metric: Transportation cost index
Philadelphia, Pennsylvania
Transportation cost 93.1
Quality Strong
Source: 2016 Location Affordability Index data based on 2013-15 Illinois vehicle miles traveled data; Longitudinal Employer-Household Dynamics Origin-Destination Employment Statistics data, 2013 & 2014; US Census Bureau’s 2016 5-Year American Community Survey (via HUD AFFH data). (Time period: 2012-16)


Metric: Transportation cost index+
Philadelphia, Pennsylvania
Transportation cost 93.1
Quality Strong
Source: 2016 Location Affordability Index data based on 2013-15 Illinois vehicle miles traveled data; Longitudinal Employer-Household Dynamics Origin-Destination Employment Statistics data, 2013 & 2014; US Census Bureau’s 2016 5-Year American Community Survey (via HUD AFFH data). (Time period: 2012-16)
Notes: Reflects local transportation costs as a share of renters’ incomes. It accounts for both transit and cars. This index is based on estimates of transportation costs for a family that meets the following description: a three-person, single-parent family with income at 50 percent of the median income for renters for the region (i.e., core-based statistical area). Values are inverted and percentile ranked nationally, with values ranging from 0 to 100. The higher the value, the lower the cost of transportation in that neighborhood.

The Confidence Interval for this metric is not applicable.


Metric: Transportation cost index+
Group Year Philadelphia, Pennsylvania
Transportation cost All 2016 93.1
Quality All 2016 Strong
Transportation cost Majority Non-White Tracts 2016 93.8
Quality Majority Non-White Tracts 2016 Strong
Transportation cost Majority White, Non-Hispanic Tracts 2016 90.5
Quality Majority White, Non-Hispanic Tracts 2016 Strong
Transportation cost No Majority Race/Ethnicity Tracts 2016 92.8
Quality No Majority Race/Ethnicity Tracts 2016 Strong
Source: 2016 Location Affordability Index data based on 2013-15 Illinois vehicle miles traveled data; Longitudinal Employer-Household Dynamics Origin-Destination Employment Statistics data, 2013 & 2014; US Census Bureau’s 2016 5-Year American Community Survey (via HUD AFFH data). (Time period: 2012-16)
Notes: Reflects local transportation costs as a share of renters’ incomes. It accounts for both transit and cars. This index is based on estimates of transportation costs for a family that meets the following description: a three-person, single-parent family with income at 50 percent of the median income for renters for the region (i.e., core-based statistical area). Values are inverted and percentile ranked nationally, with values ranging from 0 to 100. The higher the value, the lower the cost of transportation in that neighborhood.

’Majority’ means that at least 60% of residents in a census tract are members of the specified group.

The Confidence Interval for this metric is not applicable.
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Pillar: High-Quality Education

Predictor: Access to preschool

Metric: Share of (3- to 4-year-old) children enrolled in nursery school or preschool
Philadelphia, Pennsylvania
% Pre-kindergarten 33.9%
Quality Strong
Source: US Census Bureau’s 2021 5-Year American Community Survey Public Use Microdata Sample (via IPUMS); Missouri Census Data Center Geocorr 2022: Geographic Correspondence Engine. (Time period: 2017-21)


Metric: Share of (3- to 4-year-old) children enrolled in nursery school or preschool
Philadelphia, Pennsylvania
% Pre-kindergarten 33.9%
Confidence Interval (26.1%, 41.6%)
Quality Strong
Source: US Census Bureau’s 2021 5-Year American Community Survey Public Use Microdata Sample (via IPUMS); Missouri Census Data Center Geocorr 2022: Geographic Correspondence Engine. (Time period: 2017-21)
Notes: The share of a community’s children aged three to four who are enrolled in nursery or preschool.


Metric: Share of (3- to 4-year-old) children enrolled in nursery school or preschool
Group Year Philadelphia, Pennsylvania
% Pre-kindergarten All 2021 48.6%, NA
Confidence Interval All 2021 (45.1%, 52.1%), NA
Quality All 2021 Strong, NA
% Pre-kindergarten Black 2021 NA
Confidence Interval Black 2021 NA
Quality Black 2021 NA
% Pre-kindergarten Black, Non-Hispanic 2021 48.0%
Confidence Interval Black, Non-Hispanic 2021 (41.9%, 54.2%)
Quality Black, Non-Hispanic 2021 Strong
% Pre-kindergarten Hispanic 2021 41.8%
Confidence Interval Hispanic 2021 (33.7%, 49.9%)
Quality Hispanic 2021 Strong
% Pre-kindergarten Other Races and Ethnicities 2021 44.7%
Confidence Interval Other Races and Ethnicities 2021 (36.4%, 52.9%)
Quality Other Races and Ethnicities 2021 Strong
% Pre-kindergarten Other races and ethnicities 2021 NA
Confidence Interval Other races and ethnicities 2021 NA
Quality Other races and ethnicities 2021 NA
% Pre-kindergarten White 2021 NA
Confidence Interval White 2021 NA
Quality White 2021 NA
% Pre-kindergarten White, Non-Hispanic 2021 58.9%
Confidence Interval White, Non-Hispanic 2021 (52.8%, 65.1%)
Quality White, Non-Hispanic 2021 Strong
% Pre-kindergarten White, Non-Hispanic, 2021 NA
Confidence Interval White, Non-Hispanic, 2021 NA
Quality White, Non-Hispanic, 2021 NA
% Pre-kindergarten All 2018 55.3%
Confidence Interval All 2018 (47.9%, 62.6%)
Quality All 2018 Strong
% Pre-kindergarten Black 2018 NA
Confidence Interval Black 2018 NA
Quality Black 2018 NA
% Pre-kindergarten Black, Non-Hispanic 2018 49.6%
Confidence Interval Black, Non-Hispanic 2018 (44.1%, 55.2%)
Quality Black, Non-Hispanic 2018 Strong
% Pre-kindergarten Hispanic 2018 49.0%
Confidence Interval Hispanic 2018 (41.5%, 56.5%)
Quality Hispanic 2018 Strong
% Pre-kindergarten Other Races and Ethnicities 2018 47.0%
Confidence Interval Other Races and Ethnicities 2018 (38.4%, 55.7%)
Quality Other Races and Ethnicities 2018 Strong
% Pre-kindergarten White, Non-Hispanic 2018 42.5%
Confidence Interval White, Non-Hispanic 2018 (36.4%, 48.6%)
Quality White, Non-Hispanic 2018 Strong
Source: US Census Bureau’s 2018 & 2021 5-Year American Community Survey (via IPUMS); Missouri Census Data Center Geocorr 2022: Geographic Correspondence Engine. (Time period: 2014-18 & 2017-21)
Notes: The share of a community’s children aged three to four who are enrolled in nursery or preschool.
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Predictor: Effective public education

Metric: Average per grade change in English Language Arts achievement between third and eighth grades
Philadelphia, Pennsylvania
Annual ELA achievement 1
Quality Strong
Source: Stanford Education Data Archive, SY 2017-18 (Version 4.1; Reardon, S. F. et al. 2021; retrieved from http://purl.stanford.edu/db586ns4974) (Time period: School Year 2017-18)


Metric: Average per grade change in English Language Arts achievement between third and eighth grades
Philadelphia, Pennsylvania
Annual ELA achievement 1
Lower/Upper bound (0.97, 1.02)
Quality Strong
Source: Stanford Education Data Archive, SY 2017-18 (Version 4.1; Reardon, S. F. et al. 2021; retrieved from http://purl.stanford.edu/db586ns4974) (Time period: School Year 2017-18)
Notes: The average per year improvement in English/language arts (reading comprehension and written expression) among public school students between the third and eighth grades. Assessments are normalized such that a typical learning growth is roughly 1 grade level per year. ‘1’ indicates a community is learning at an average rate; below 1 is slower than average, and above 1 is faster than average.


Metric: Average per grade change in English Language Arts achievement between third and eighth grades
Group Year Philadelphia, Pennsylvania
Annual ELA achievement All 2017 1
Lower/Upper bound All 2017 (0.97, 1.02)
Quality All 2017 Strong
Annual ELA achievement Black, Non-Hispanic 2017 0.97
Lower/Upper bound Black, Non-Hispanic 2017 (0.94, 1)
Quality Black, Non-Hispanic 2017 Strong
Annual ELA achievement Hispanic 2017 0.99
Lower/Upper bound Hispanic 2017 (0.92, 1.05)
Quality Hispanic 2017 Strong
Annual ELA achievement White, Non-Hispanic 2017 0.99
Lower/Upper bound White, Non-Hispanic 2017 (0.94, 1.05)
Quality White, Non-Hispanic 2017 Strong
Annual ELA achievement All 2016 1.01
Lower/Upper bound All 2016 (0.97, 1.04)
Quality All 2016 Strong
Annual ELA achievement Black, Non-Hispanic 2016 1
Lower/Upper bound Black, Non-Hispanic 2016 (0.96, 1.03)
Quality Black, Non-Hispanic 2016 Strong
Annual ELA achievement Hispanic 2016 0.93
Lower/Upper bound Hispanic 2016 (0.88, 0.99)
Quality Hispanic 2016 Strong
Annual ELA achievement White, Non-Hispanic 2016 0.98
Lower/Upper bound White, Non-Hispanic 2016 (0.91, 1.06)
Quality White, Non-Hispanic 2016 Strong
Source: Stanford Education Data Archive, SY 2016-17 & SY 2017-18 (Version 4.1; Reardon, S. F. et al. 2021; retrieved from http://purl.stanford.edu/db586ns4974) (Time period: School Years 2016-17 & 2017-18)
Notes: The average per year improvement in English/language arts (reading comprehension and written expression) among public school students between the third and eighth grades. Assessments are normalized such that a typical learning growth is roughly 1 grade level per year. ‘1’ indicates a community is learning at an average rate; below 1 is slower than average, and above 1 is faster than average.

Research suggests that annual improvement in English for Hispanic children will exceed those of White, Non-Hispanic children because Hispanic children, on average, start with lower levels of English language skills and can improve more quickly than children with higher baseline skills.

Research suggests that annual improvement in English for students in low-income or economically disadvantaged households will exceed those of non-economically disadvantaged households because students in less advantaged households, on average, start with lower levels of English language skills and can improve more quickly than children with higher baseline skills. ‘Low-income’ means students are determined to be eligible for their schools’ free and reduced-price meals under the National School Lunch Program.
Metric: Average per grade change in English Language Arts achievement between third and eighth grades
Group Year Philadelphia, Pennsylvania
Annual ELA achievement All 2017 1
Lower/Upper bound All 2017 (0.97, 1.02)
Quality All 2017 Strong
Annual ELA achievement Low Income 2017 1.05
Lower/Upper bound Low Income 2017 (1.02, 1.07)
Quality Low Income 2017 Strong
Annual ELA achievement Not Low-Income 2017 0.72
Lower/Upper bound Not Low-Income 2017 (0.65, 0.78)
Quality Not Low-Income 2017 Strong
Annual ELA achievement All 2016 1.01
Lower/Upper bound All 2016 (0.97, 1.04)
Quality All 2016 Strong
Annual ELA achievement Low Income 2016 1
Lower/Upper bound Low Income 2016 (0.96, 1.03)
Quality Low Income 2016 Strong
Annual ELA achievement Not Low-Income 2016 0.93
Lower/Upper bound Not Low-Income 2016 (0.85, 1.01)
Quality Not Low-Income 2016 Strong
Source: Stanford Education Data Archive, SY 2016-17 & SY 2017-18 (Version 4.1; Reardon, S. F. et al. 2021; retrieved from http://purl.stanford.edu/db586ns4974) (Time period: School Years 2016-17 & 2017-18)
Notes: The average per year improvement in English/language arts (reading comprehension and written expression) among public school students between the third and eighth grades. Assessments are normalized such that a typical learning growth is roughly 1 grade level per year. ‘1’ indicates a community is learning at an average rate; below 1 is slower than average, and above 1 is faster than average.

Research suggests that annual improvement in English for Hispanic children will exceed those of White, Non-Hispanic children because Hispanic children, on average, start with lower levels of English language skills and can improve more quickly than children with higher baseline skills.

Research suggests that annual improvement in English for students in low-income or economically disadvantaged households will exceed those of non-economically disadvantaged households because students in less advantaged households, on average, start with lower levels of English language skills and can improve more quickly than children with higher baseline skills. ‘Low-income’ means students are determined to be eligible for their schools’ free and reduced-price meals under the National School Lunch Program.
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Predictor: School economic diversity

Metric: Share of students attending high-poverty schools, by student race/ethnicity
Philadelphia, Pennsylvania
% for White, non-Hispanic 90.3%
Quality Strong
% for Black, non-Hispanic 98.9%
Quality Strong
% for Hispanic 97.3%
Quality Strong
Source: National Center for Education Statistics Common Core of Data, SY 2018-19; Urban Institute’s Modeled Estimates of Poverty in Schools (via Education Data Portal v. 0.17.0, Urban Institute, under ODC Attribution License). (Time period: School Year 2018-19)


Metric: Share of students attending high-poverty schools, by student race/ethnicity+
Philadelphia, Pennsylvania
% for White, non-Hispanic 90.3%
Quality Strong
% for Black, non-Hispanic 98.9%
Quality Strong
% for Hispanic 97.3%
Quality Strong
Source: National Center for Education Statistics Common Core of Data, SY 2018-19; Urban Institute’s Modeled Estimates of Poverty in Schools (via Education Data Portal v. 0.17.0, Urban Institute, under ODC Attribution License). (Time period: School Year 2018-19)
Notes: This set of metrics is constructed separately for each racial/ethnic group and reports the share of students attending schools in which over 20 percent of students come from households earning at or below 100% of the Federal Poverty Level.

The Confidence Interval for this metric is not applicable.
Metric: Share of students attending high-poverty schools, by student race/ethnicity+
Year Philadelphia, Pennsylvania
% for White, non-Hispanic 2018 90.3%
Quality 2018 Strong
% for Black, non-Hispanic 2018 98.9%
Quality 2018 Strong
% for Hispanic 2018 97.3%
Quality 2018 Strong
% for White, non-Hispanic 2014 77.4%
Quality 2014 Strong
% for Black, non-Hispanic 2014 90.9%
Quality 2014 Strong
% for Hispanic 2014 96.0%
Quality 2014 Strong
Source: National Center for Education Statistics Common Core of Data, SY 2017-18 & 2018-19; Urban Institute’s Modeled Estimates of Poverty in Schools (via Education Data Portal v. 0.17.0, Urban Institute, under ODC Attribution License). (Time periods: School Years 2017-18 & 2018-19)
Notes: This set of metrics is constructed separately for each racial/ethnic group and reports the share of students attending schools in which over 20 percent of students come from households earning at or below 100% of the Federal Poverty Level.

The Confidence Interval for this metric is not applicable.
Visit here for more details about this predictor.


Predictor: Preparation for college

Metric: Share of 19- and 20-year-olds with a high school degree
Philadelphia, Pennsylvania
% HS degree 86.2%
Quality Strong
Source: US Census Bureau’s 2021 5-Year American Community Survey Public Use Microdata Sample (via IPUMS); Missouri Census Data Center Geocorr 2022: Geographic Correspondence Engine. (Time period: 2017-21)


Metric: Share of 19- and 20-year-olds with a high school degree
Philadelphia, Pennsylvania
% HS degree 86.2%
Confidence Interval (82.4%, 90.0%)
Quality Strong
Source: US Census Bureau’s 2021 5-Year American Community Survey Public Use Microdata Sample (via IPUMS); Missouri Census Data Center Geocorr 2022: Geographic Correspondence Engine. (Time period: 2017-21)
Notes: The share of 19- and 20-year-olds in a community who have a high school degree.


Metric: Share of 19- and 20-year-olds with a high school degree
Group Year Philadelphia, Pennsylvania
% HS degree All 2021 88.6%, NA
Confidence Interval All 2021 (87.1%, 90.1%), NA
Quality All 2021 Strong, NA
% HS degree Black 2021 NA
Confidence Interval Black 2021 NA
Quality Black 2021 NA
% HS degree Black, Non-Hispanic 2021 85.5%
Confidence Interval Black, Non-Hispanic 2021 (82.1%, 88.9%)
Quality Black, Non-Hispanic 2021 Strong
% HS degree Hispanic 2021 78.9%
Confidence Interval Hispanic 2021 (73.0%, 84.9%)
Quality Hispanic 2021 Strong
% HS degree Other Races and Ethnicities 2021 95.0%
Confidence Interval Other Races and Ethnicities 2021 (92.4%, 97.6%)
Quality Other Races and Ethnicities 2021 Strong
% HS degree Other races and ethnicities 2021 NA
Confidence Interval Other races and ethnicities 2021 NA
Quality Other races and ethnicities 2021 NA
% HS degree White 2021 NA
Confidence Interval White 2021 NA
Quality White 2021 NA
% HS degree White, Non-Hispanic 2021 95.8%
Confidence Interval White, Non-Hispanic 2021 (94.5%, 97.2%)
Quality White, Non-Hispanic 2021 Strong
% HS degree White, Non-Hispanic, 2021 NA
Confidence Interval White, Non-Hispanic, 2021 NA
Quality White, Non-Hispanic, 2021 NA
% HS degree All 2018 82.9%
Confidence Interval All 2018 (77.5%, 88.3%)
Quality All 2018 Strong
% HS degree Black 2018 NA
Confidence Interval Black 2018 NA
Quality Black 2018 NA
% HS degree Black, Non-Hispanic 2018 83.6%
Confidence Interval Black, Non-Hispanic 2018 (79.6%, 87.5%)
Quality Black, Non-Hispanic 2018 Strong
% HS degree Hispanic 2018 77.6%
Confidence Interval Hispanic 2018 (70.7%, 84.5%)
Quality Hispanic 2018 Strong
% HS degree Other Races and Ethnicities 2018 92.4%
Confidence Interval Other Races and Ethnicities 2018 (87.8%, 97.0%)
Quality Other Races and Ethnicities 2018 Strong
% HS degree White, Non-Hispanic 2018 93.6%
Confidence Interval White, Non-Hispanic 2018 (91.1%, 96.1%)
Quality White, Non-Hispanic 2018 Strong
Source: US Census Bureau’s 2018 & 2021 5-Year American Community Survey Public Use Microdata Sample (via IPUMS); Missouri Census Data Center Geocorr 2022: Geographic Correspondence Engine. (Time period: 2014-18 & 2017-21)
Notes: The share of 19- and 20-year-olds in a community who have a high school degree.
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Predictor: Digital access

Metric: Share of people in households with broadband access in the home
Philadelphia, Pennsylvania
% Digital access 0.8
Quality Strong
Source: US Census Bureau’s 2021 5-Year American Community Survey. (Time period: 2017-2021)


Metric: Share of people in households with broadband access in the home*
Philadelphia, Pennsylvania
% Digital access 0.8
Quality Strong
Source: US Census Bureau’s 2021 5-Year American Community Survey. (Time period: 2017-2021)
Notes: This metric represents the share of people in households with access to broadband in their home.

The Confidence Interval for this metric is not available at this time.
Metric: Share of people in households with broadband access in the home*
Group Year Philadelphia, Pennsylvania
% Digital access All 2021 0.8, NA
Quality All 2021 Strong, NA
% Digital access Black 2021 0.8
Quality Black 2021 Strong
% Digital access Black, Non-Hispanic 2021 NA
Quality Black, Non-Hispanic 2021 NA
% Digital access Hispanic 2021 0.8
Quality Hispanic 2021 Strong
% Digital access Other Races and Ethnicities 2021 0.9
Quality Other Races and Ethnicities 2021 Strong
% Digital access Other races and ethnicities 2021 NA
Quality Other races and ethnicities 2021 NA
% Digital access White 2021 0.9
Quality White 2021 Strong
% Digital access White, Non-Hispanic 2021 NA
Quality White, Non-Hispanic 2021 NA
% Digital access White, Non-Hispanic, 2021 NA
Quality White, Non-Hispanic, 2021 NA
Source: US Census Bureau’s 2021 5-Year American Community Survey. (Time period: 2017-2021)
Notes: This metric represents the share of people in households with access to broadband in their home.

The Confidence Interval for this metric is not available at this time.
Visit here for more details about this predictor.


Pillar: Rewarding Work

Predictor: Employment Opportunities

Metric: Employment-to-population ratio for adults ages 25 to 54
Philadelphia, Pennsylvania
Employment to population ratio 74.2%
Quality Strong
Source: US Census Bureau’s 2021 5-Year American Community Survey Public Use Microdata Sample (PUMS) (via IPUMS); Missouri Census Data Center Geocorr 2022: Geographic Correspondence Engine. (Time period: 2017-21)


Metric: Employment-to-population ratio for adults ages 25 to 54
Philadelphia, Pennsylvania
Employment to population ratio 74.2%
Confidence Interval (72.7%, 75.7%)
Quality Strong
Source: US Census Bureau’s 2021 5-Year American Community Survey Public Use Microdata Sample (PUMS) (via IPUMS); Missouri Census Data Center Geocorr 2022: Geographic Correspondence Engine. (Time period: 2017-21)
Notes: The share of adults between the ages of 25 and 54 in a given community who are employed.


Metric: Employment-to-population ratio for adults ages 25 to 54
Group Year Philadelphia, Pennsylvania
Employment to population ratio All 2021 74.4%, NA
Confidence Interval All 2021 (73.8%, 75.1%), NA
Quality All 2021 Strong, NA
Employment to population ratio Black 2021 NA
Confidence Interval Black 2021 NA
Quality Black 2021 NA
Employment to population ratio Black, Non-Hispanic 2021 71.0%
Confidence Interval Black, Non-Hispanic 2021 (69.6%, 72.3%)
Quality Black, Non-Hispanic 2021 Strong
Employment to population ratio Hispanic 2021 67.0%
Confidence Interval Hispanic 2021 (64.9%, 69.1%)
Quality Hispanic 2021 Strong
Employment to population ratio Other Races and Ethnicities 2021 74.9%
Confidence Interval Other Races and Ethnicities 2021 (73.2%, 76.7%)
Quality Other Races and Ethnicities 2021 Strong
Employment to population ratio Other races and ethnicities 2021 NA
Confidence Interval Other races and ethnicities 2021 NA
Quality Other races and ethnicities 2021 NA
Employment to population ratio White 2021 NA
Confidence Interval White 2021 NA
Quality White 2021 NA
Employment to population ratio White, Non-Hispanic 2021 80.6%
Confidence Interval White, Non-Hispanic 2021 (79.8%, 81.5%)
Quality White, Non-Hispanic 2021 Strong
Employment to population ratio White, Non-Hispanic, 2021 NA
Confidence Interval White, Non-Hispanic, 2021 NA
Quality White, Non-Hispanic, 2021 NA
Employment to population ratio All 2018 74.2%
Confidence Interval All 2018 (72.7%, 75.7%)
Quality All 2018 Strong
Employment to population ratio Black 2018 NA
Confidence Interval Black 2018 NA
Quality Black 2018 NA
Employment to population ratio Black, Non-Hispanic 2018 67.1%
Confidence Interval Black, Non-Hispanic 2018 (65.9%, 68.4%)
Quality Black, Non-Hispanic 2018 Strong
Employment to population ratio Hispanic 2018 63.9%
Confidence Interval Hispanic 2018 (61.8%, 66.0%)
Quality Hispanic 2018 Strong
Employment to population ratio Other Races and Ethnicities 2018 72.7%
Confidence Interval Other Races and Ethnicities 2018 (70.8%, 74.6%)
Quality Other Races and Ethnicities 2018 Strong
Employment to population ratio White, Non-Hispanic 2018 78.9%
Confidence Interval White, Non-Hispanic 2018 (78.0%, 79.8%)
Quality White, Non-Hispanic 2018 Strong
Source: US Census Bureau’s 2018 & 2021 5-Year American Community Survey Public Use Microdata Sample (via IPUMS); Missouri Census Data Center Geocorr 2022: Geographic Correspondence Engine. (Time period: 2014-18 & 2017-21)
Notes: The share of adults between the ages of 25 and 54 in a given community who are employed.
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Predictor: Access to jobs paying a living wage

Metric: Ratio of pay on an average job to the cost of living
Philadelphia, Pennsylvania
Ratio of pay to living wage 0.87
Quality Strong
Source: US Bureau of Labor Statistics Quarterly Census of Employment and Wages (QCEW) data, 2021; Massachusetts Institute of Technology Living Wage Calculator, 2022. (Time period: 2021)


Metric: Ratio of pay on an average job to the cost of living+
Philadelphia, Pennsylvania
Ratio of pay to living wage 0.87
Quality Strong
Source: US Bureau of Labor Statistics Quarterly Census of Employment and Wages (QCEW) data, 2021; Massachusetts Institute of Technology Living Wage Calculator, 2022. (Time period: 2021)
Notes: What an average job pays relative to the cost of living in a particular area. The metric is computed by dividing the average earnings for a job in an area by the cost of meeting a family of three’s (for a 1 adult and 2 child household) basic expenses in that area. Ratio values greater than 1 indicate that the average job pays more than the cost of living, while values less than 1 suggest the average job pays less than the cost of living.

For the 2021 metric, we were only able to access the 2022 Living Wage data. We deflated the 2022 data to 2021 using the consumer price index (for all urban consumers), for a correct comparison with the 2021 QCEW.

The Confidence Interval for this metric is not applicable.


Metric: Ratio of pay on an average job to the cost of living+
Year Philadelphia, Pennsylvania
Ratio of pay to living wage 2021 0.87
Quality 2021 Strong
Ratio of pay to living wage 2018 1.03
Quality 2018 Strong
Source: US Bureau of Labor Statistics Quarterly Census of Employment and Wages (QCEW) data, 2018 & 2021; Massachusetts Institute of Technology Living Wage Calculator, 2018 & 2022. (Time period: 2018 & 2021)
Notes: What an average job pays relative to the cost of living in a particular area. The metric is computed by dividing the average earnings for a job in an area by the cost of meeting a family of three’s (for a 1 adult and 2 child household) basic expenses in that area. Ratio values greater than 1 indicate that the average job pays more than the cost of living, while values less than 1 suggest the average job pays less than the cost of living.

For the 2021 metric, we were only able to access the 2022 Living Wage data. We deflated the 2022 data to 2021 using the consumer price index (for all urban consumers), for a correct comparison with the 2021 QCEW.

The Confidence Interval for this metric is not applicable.
Visit here for more details about this predictor.


Predictor: Opportunities for Income

Metric: Household income at the 20th, 50th, and 80th percentiles
Philadelphia, Pennsylvania
20th Percentile $15,703
50th Percentile $45,620
80th Percentile $101,310
Quality Strong
Source: US Census Bureau’s 2021 1-Year American Community Survey Public Use Microdata Sample (via IPUMS); Missouri Census Data Center Geocorr 2022: Geographic Correspondence Engine. (Time Period: 2021)


Metric: Household income at the 20th, 50th, and 80th percentiles*
Philadelphia, Pennsylvania
20th Percentile $15,703
50th Percentile $45,620
80th Percentile $101,310
Quality Strong
Source: US Census Bureau’s 2021 1-Year American Community Survey Public Use Microdata Sample (via IPUMS); Missouri Census Data Center Geocorr 2022: Geographic Correspondence Engine. (Time Period: 2021)
Notes: To identify income percentiles, all households are ranked by income from lowest to highest. The income level threshold for the poorest 20 percent of households is the value at the 20th percentile. The 50th percentile income threshold indicates the median, with half of households earning less and half of households earning more. The income level threshold for the richest 20 percent of households is the value at the 80th percentile. The difference in income between households at the 20th percentile and the 80th percentile illustrates the level of local economic inequality.

The Confidence Interval for this metric is not available at this time.


Metric: Household income at the 20th, 50th, and 80th percentiles*
Group Year Philadelphia, Pennsylvania
20th Percentile All 2021 $16,764, NA
50th Percentile All 2021 $51,603, NA
80th Percentile All 2021 $112,588, NA
Quality All 2021 Strong, NA
20th Percentile Black 2021 NA
50th Percentile Black 2021 NA
80th Percentile Black 2021 NA
Quality Black 2021 NA
20th Percentile Black, Non-Hispanic 2021 $12,846
50th Percentile Black, Non-Hispanic 2021 $38,966
80th Percentile Black, Non-Hispanic 2021 $84,251
Quality Black, Non-Hispanic 2021 Strong
20th Percentile Hispanic 2021 $12,518
50th Percentile Hispanic 2021 $37,897
80th Percentile Hispanic 2021 $87,447
Quality Hispanic 2021 Strong
20th Percentile Other Races and Ethnicities 2021 $18,957
50th Percentile Other Races and Ethnicities 2021 $53,633
80th Percentile Other Races and Ethnicities 2021 $119,897
Quality Other Races and Ethnicities 2021 Strong
20th Percentile Other races and ethnicities 2021 NA
50th Percentile Other races and ethnicities 2021 NA
80th Percentile Other races and ethnicities 2021 NA
Quality Other races and ethnicities 2021 NA
20th Percentile White 2021 NA
50th Percentile White 2021 NA
80th Percentile White 2021 NA
Quality White 2021 NA
20th Percentile White, Non-Hispanic 2021 $26,539
50th Percentile White, Non-Hispanic 2021 $72,713
80th Percentile White, Non-Hispanic 2021 $150,881
Quality White, Non-Hispanic 2021 Strong
20th Percentile White, Non-Hispanic, 2021 NA
50th Percentile White, Non-Hispanic, 2021 NA
80th Percentile White, Non-Hispanic, 2021 NA
Quality White, Non-Hispanic, 2021 NA
20th Percentile All 2018 $15,703
50th Percentile All 2018 $45,620
80th Percentile All 2018 $101,310
Quality All 2018 Strong
20th Percentile Black 2018 NA
50th Percentile Black 2018 NA
80th Percentile Black 2018 NA
Quality Black 2018 NA
20th Percentile Black, Non-Hispanic 2018 $11,087
50th Percentile Black, Non-Hispanic 2018 $33,331
80th Percentile Black, Non-Hispanic 2018 $71,551
Quality Black, Non-Hispanic 2018 Strong
20th Percentile Hispanic 2018 $10,386
50th Percentile Hispanic 2018 $31,609
80th Percentile Hispanic 2018 $67,346
Quality Hispanic 2018 Strong
20th Percentile Other Races and Ethnicities 2018 $16,091
50th Percentile Other Races and Ethnicities 2018 $45,876
80th Percentile Other Races and Ethnicities 2018 $103,610
Quality Other Races and Ethnicities 2018 Strong
20th Percentile White, Non-Hispanic 2018 $22,045
50th Percentile White, Non-Hispanic 2018 $60,411
80th Percentile White, Non-Hispanic 2018 $127,182
Quality White, Non-Hispanic 2018 Strong
Source: US Census Bureau’s 2018 & 2021 5-Year American Community Survey Public Use Microdata Sample (via IPUMS); Missouri Census Data Center Geocorr 2022: Geographic Correspondence Engine. (Time Periods: 2014-18 & 2017-21)
Notes: To identify income percentiles, all households are ranked by income from lowest to highest. The income level threshold for the poorest 20 percent of households is the value at the 20th percentile. The 50th percentile income threshold indicates the median, with half of households earning less and half of households earning more. The income level threshold for the richest 20 percent of households is the value at the 80th percentile. The difference in income between households at the 20th percentile and the 80th percentile illustrates the level of local economic inequality.

The Confidence Interval for this metric is not available at this time.
Visit here for more details about this predictor.


Predictor: Financial security

Metric: Share with debt in collections
Philadelphia, Pennsylvania
% with debt 35.0%
Quality Strong
Source: February 2022 credit bureau data from Urban Institute’s Debt in America feature. (Time period: February 2022)


Metric: Share with debt in collections
Philadelphia, Pennsylvania
% with debt 35.0%
Confidence Interval NA
Quality Strong
Source: February 2022 credit bureau data from Urban Institute’s Debt in America feature. (Time period: February 2022)
Notes: The county-level measure captures the share of adults in an area with a credit bureau record with debt sent to collections.


Metric: Share with debt in collections
Group Year Philadelphia, Pennsylvania
% with debt All 2018 43.3%
Confidence Interval All 2018 (42.7%, 43.9%)
Quality All 2018 Strong
% with debt Majority Non-White ZIPs 2018 55.6%
Confidence Interval Majority Non-White ZIPs 2018 (54.7%, 56.5%)
Quality Majority Non-White ZIPs 2018 Strong
% with debt Majority White 2018 23.7%
Confidence Interval Majority White 2018 (22.6%, 24.8%)
Quality Majority White 2018 Strong
% with debt Majority White, Non-Hispanic ZIPs 2018 NA
Confidence Interval Majority White, Non-Hispanic ZIPs 2018 NA
Quality Majority White, Non-Hispanic ZIPs 2018 NA
Source: August 2018 and February 2022 credit bureau data from Urban Institute’s Debt in America feature. (Time periods: August 2018 & February 2022)
Notes: The county-level measure captures the share of adults in an area with a credit bureau record with debt sent to collections.

For county-level August 2018 and February 2022 data, “majority” means that at least 60% of residents in a zip code are members of the specified population group.
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Predictor: Wealth-Building Opportunities

Metric: Ratio of the share of a community’s housing wealth held by a racial or ethnic group to the share of households of the same group
Philadelphia, Pennsylvania
Black, non-Hispanic Opportunity 26.4%:39.2%
Quality Strong
Hispanic Opportunity 8.2%:12.2%
Quality Strong
Other Races and Ethnicities Opportunity 11.8%:10.7%
Quality Strong
White, non-Hispanic Opportunity 53.6%:37.9%
Quality Strong
Source: US Census Bureau’s 2021 1-Year American Community Survey Public Use Microdata Sample (via IPUMS); Missouri Census Data Center Geocorr 2022: Geographic Correspondence Engine. (Time period: 2021)


Metric: Ratio of the share of a community’s housing wealth held by a racial or ethnic group to the share of households of the same group+
Philadelphia, Pennsylvania
Black, non-Hispanic Opportunity 26.4%:39.2%
Quality Strong
Hispanic Opportunity 8.2%:12.2%
Quality Strong
Other Races and Ethnicities Opportunity 11.8%:10.7%
Quality Strong
White, non-Hispanic Opportunity 53.6%:37.9%
Quality Strong
Source: US Census Bureau’s 2021 1-Year American Community Survey Public Use Microdata Sample (via IPUMS); Missouri Census Data Center Geocorr 2022: Geographic Correspondence Engine. (Time period: 2021)
Notes: The percentage to the left of the colon for a given racial group reflects their share of primary-residence housing wealth in a community, and the percentage to the right of the colon reflects the number of households who are headed by a member of that racial group as a share of the community’s total number of households. If the percentage on the left side of the colon is smaller than the percentage on the right side, then that group has less proportionate housing wealth compared to their presence in the community. The greater the gap between these percentages, the more inequality in housing wealth in the community. This metric is based on self-reported housing value, does not account for the extent of mortgage debt, and does not account for other important demographic variations such as differences in age composition across race and ethnic groups, and as such this metric may not fully reflect the size of the actual housing wealth gap.

The Confidence Interval for this metric is not applicable.


Metric: Ratio of the share of a community’s housing wealth held by a racial or ethnic group to the share of households of the same group+
Year Philadelphia, Pennsylvania
Black, non-Hispanic Opportunity 2021 26.4%:39.2%
Quality 2021 Strong
Hispanic Opportunity 2021 8.2%:12.2%
Quality 2021 Strong
Other Races and Ethnicities Opportunity 2021 11.8%:10.7%
Quality 2021 Strong
White, non-Hispanic Opportunity 2021 53.6%:37.9%
Quality 2021 Strong
Black, non-Hispanic Opportunity 2018 24.8%:40.5%
Quality 2018 Strong
Hispanic Opportunity 2018 6.9%:11.2%
Quality 2018 Strong
Other Races and Ethnicities Opportunity 2018 12.5%:9.0%
Quality 2018 Strong
White, non-Hispanic Opportunity 2018 55.8%:39.2%
Quality 2018 Strong
Source: US Census Bureau’s 2018 & 2021 1-Year American Community Survey Public Use Microdata Sample (via IPUMS); Missouri Census Data Center Geocorr 2022: Geographic Correspondence Engine. (Time periods: 2018 & 2021)
Notes: The percentage to the left of the colon for a given racial group reflects their share of primary-residence housing wealth in a community, and the percentage to the right of the colon reflects the number of households who are headed by a member of that racial group as a share of the community’s total number of households. If the percentage on the left side of the colon is smaller than the percentage on the right side, then that group has less proportionate housing wealth compared to their presence in the community. The greater the gap between these percentages, the more inequality in housing wealth in the community. This metric is based on self-reported housing value, does not account for the extent of mortgage debt, and does not account for other important demographic variations such as differences in age composition across race and ethnic groups, and as such this metric may not fully reflect the size of the actual housing wealth gap.

The Confidence Interval for this metric is not applicable.
Visit here for more details about this predictor.


Pillar: Healthy Environment and Access to Good Healthcare

Predictor: Access to health services

Metric: Ratio of population per primary care physician
Philadelphia, Pennsylvania
Ratio of people to physicians 1339:1
Quality Strong
Source: US Department of Health and Human Services, Health Resources and Services Administration, Area Health Resources File, 2020-21 (via County Health Rankings, 2022). (Time period: 2019)


Metric: Ratio of population per primary care physician+
Philadelphia, Pennsylvania
Ratio of people to physicians 1339:1
Quality Strong
Source: US Department of Health and Human Services, Health Resources and Services Administration, Area Health Resources File, 2020-21 (via County Health Rankings, 2022). (Time period: 2019)
Notes: The ratio represents the number of people served by one primary care physician in a county. It assumes the population is equally distributed across physicians and does not account for actual physician patient load. Missing values are reported for counties with population greater than 2,000 and 0 primary care physicians. The metric does not include nurse practitioners, physician assistants, or other primary care providers who are not physicians.

The Confidence Interval for this metric is not applicable.
Visit here for more details about this predictor.


Predictor: Neonatal health

Metric: Share with low birth weight
Philadelphia, Pennsylvania
% Low birth weight 11.0%
Quality Strong
Source: Centers for Disease Control and Prevention National Center for Health Statistics, Division of Vital Statistics, Natality data, 2020 (via CDC WONDER). (Time period: 2020)


Metric: Share with low birth weight
Philadelphia, Pennsylvania
% Low birth weight 11.0%
Confidence Interval (10.6%, 11.5%)
Quality Strong
Source: Centers for Disease Control and Prevention National Center for Health Statistics, Division of Vital Statistics, Natality data, 2020 (via CDC WONDER). (Time period: 2020)
Notes: The share of babies born weighing less than 5 pounds 8 ounces (<2,500 grams) out of all births with available birthweight information.


Metric: Share with low birth weight
Group Year Philadelphia, Pennsylvania
% Low birth weight All 2020 11.0%
Confidence Interval All 2020 (10.6%, 11.5%)
Quality All 2020 Strong
% Low birth weight Black, Non-Hispanic 2020 14.9%
Confidence Interval Black, Non-Hispanic 2020 (14.1%, 15.7%)
Quality Black, Non-Hispanic 2020 Strong
% Low birth weight Hispanic 2020 9.1%
Confidence Interval Hispanic 2020 (8.2%, 10.0%)
Quality Hispanic 2020 Strong
% Low birth weight Other Races and Ethnicities 2020 8.7%
Confidence Interval Other Races and Ethnicities 2020 (7.5%, 10.0%)
Quality Other Races and Ethnicities 2020 Strong
% Low birth weight White, Non-Hispanic 2020 7.3%
Confidence Interval White, Non-Hispanic 2020 (6.7%, 8.0%)
Quality White, Non-Hispanic 2020 Strong
% Low birth weight All 2018 11.1%
Confidence Interval All 2018 (10.6%, 11.5%)
Quality All 2018 Strong
% Low birth weight Black 2018 NA
Confidence Interval Black 2018 NA
Quality Black 2018 NA
% Low birth weight Black, Non-Hispanic 2018 14.7%
Confidence Interval Black, Non-Hispanic 2018 (14.0%, 15.5%)
Quality Black, Non-Hispanic 2018 Strong
% Low birth weight Hispanic 2018 9.9%
Confidence Interval Hispanic 2018 (8.9%, 10.8%)
Quality Hispanic 2018 Strong
% Low birth weight Other Races and Ethnicities 2018 9.1%
Confidence Interval Other Races and Ethnicities 2018 (7.9%, 10.4%)
Quality Other Races and Ethnicities 2018 Strong
% Low birth weight White, Non-Hispanic 2018 7.2%
Confidence Interval White, Non-Hispanic 2018 (6.5%, 7.8%)
Quality White, Non-Hispanic 2018 Strong
Source: Centers for Disease Control and Prevention National Center for Health Statistics, Division of Vital Statistics, Natality data, 2018 & 2020 (via CDC WONDER). (Time period: 2018 & 2020)
Notes: The share of babies born weighing less than 5 pounds 8 ounces (<2,500 grams) out of all births with available birthweight information. Race and ethnicity is based on the mother’s characteristics.
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Predictor: Environmental quality

Metric: Air quality index
Philadelphia, Pennsylvania
Air quality index 12
Quality Strong
Source: US Environmental Protection Agency’s AirToxScreen data, 2018 (based on 2017 National Emissions Inventory data). (Time period: 2017-18)


Metric: Air quality index+
Philadelphia, Pennsylvania
Air quality index 12
Quality Strong
Source: US Environmental Protection Agency’s AirToxScreen data, 2018 (based on 2017 National Emissions Inventory data). (Time period: 2017-18)
Notes: The index is a linear combination of standardized EPA estimates of air quality carcinogenic, respiratory, and neurological hazards measured at the census tract level. Values are inverted and percentile ranked nationally and range from 0 to 100. The higher the index value, the less exposure to toxins harmful to human health.

The Confidence Interval for this metric is not applicable.


Metric: Air quality index+
Group Year Philadelphia, Pennsylvania
Air quality index All 2018 12
Quality All 2018 Strong
Air quality index Majority Non-White Tracts 2018 10
Quality Majority Non-White Tracts 2018 Strong
Air quality index Majority White 2018 NA
Quality Majority White 2018 NA
Air quality index Majority White, Non-Hispanic Tracts 2018 14
Quality Majority White, Non-Hispanic Tracts 2018 Strong
Air quality index No Majority Race/Ethnicity Tracts 2018 13
Quality No Majority Race/Ethnicity Tracts 2018 Strong
Air quality index All 2014 13
Quality All 2014 Strong
Air quality index Majority Non-White Tracts 2014 12
Quality Majority Non-White Tracts 2014 Strong
Air quality index Majority White, Non-Hispanic Tracts 2014 14
Quality Majority White, Non-Hispanic Tracts 2014 Strong
Air quality index No Majority Race/Ethnicity Tracts 2014 13
Quality No Majority Race/Ethnicity Tracts 2014 Strong
Source: Environmental Protection Agency’s National Air Toxics Assessment data, 2014 and AirToxScreen data, 2018 (based on 2014 & 2017 National Emissions Inventory data); US Census Bureau’s 2014 & 2018 5-Year American Community Survey. (Time periods: 2010-14 & 2014-18)
Notes: The index is a linear combination of standardized EPA estimates of air quality carcinogenic, respiratory, and neurological hazards measured at the census tract level. Values are inverted and percentile ranked nationally and range from 0 to 100. The higher the index value, the less exposure to toxins harmful to human health.

‘Majority’ means that at least 60% of residents in a census tract are members of the specified group. ‘High poverty’ means that 40% or more of people in a census tract live in families with incomes below the federal poverty line.

The Confidence Interval for this metric is not applicable.
Metric: Air quality index+
Group Year Philadelphia, Pennsylvania
Air quality index All 2018 12
Quality All 2018 Strong
Air quality index High Poverty Tracts 2018 8
Quality High Poverty Tracts 2018 Strong
Air quality index Majority Non-White 2018 10
Quality Majority Non-White 2018 Strong
Air quality index Majority White, Non-Hispanic 2018 14
Quality Majority White, Non-Hispanic 2018 Strong
Air quality index No Majority Race/Ethnicity 2018 13
Quality No Majority Race/Ethnicity 2018 Strong
Air quality index Not High Poverty Tracts 2018 13
Quality Not High Poverty Tracts 2018 Strong
Air quality index All 2014 13
Quality All 2014 Strong
Air quality index High Poverty Tracts 2014 9
Quality High Poverty Tracts 2014 Strong
Air quality index Majority Non-White 2014 12
Quality Majority Non-White 2014 Strong
Air quality index Majority White, Non-Hispanic 2014 14
Quality Majority White, Non-Hispanic 2014 Strong
Air quality index No Majority Race/Ethnicity 2014 13
Quality No Majority Race/Ethnicity 2014 Strong
Air quality index Not High Poverty Tracts 2014 14
Quality Not High Poverty Tracts 2014 Strong
Source: Environmental Protection Agency’s National Air Toxics Assessment data, 2014 and AirToxScreen data, 2018 (based on 2014 & 2017 National Emissions Inventory data); US Census Bureau’s 2014 & 2018 5-Year American Community Survey. (Time periods: 2010-14 & 2014-18)
Notes: The index is a linear combination of standardized EPA estimates of air quality carcinogenic, respiratory, and neurological hazards measured at the census tract level. Values are inverted and percentile ranked nationally and range from 0 to 100. The higher the index value, the less exposure to toxins harmful to human health.

‘Majority’ means that at least 60% of residents in a census tract are members of the specified group. ‘High poverty’ means that 40% or more of people in a census tract live in families with incomes below the federal poverty line.

The Confidence Interval for this metric is not applicable.
Visit here for more details about this predictor.


Predictor: Safety from Trauma

Metric: Deaths due to injury per 100,000 people
Philadelphia, Pennsylvania
Trauma 120.4
Quality Strong
Source: National Center for Health Statistics, 2016-20, drawn from the National Vital Statistics System (via County Health Rankings, 2022). (Time period: 2016-20)


Metric: Deaths due to injury per 100,000 people
Philadelphia, Pennsylvania
Trauma 120.4
Confidence Interval (118, 122.9)
Quality Strong
Source: National Center for Health Statistics, 2016-20, drawn from the National Vital Statistics System (via County Health Rankings, 2022). (Time period: 2016-20)
Notes: Injury deaths is the number of deaths from planned (e.g., homicide or suicide) and unplanned (e.g., motor vehicle deaths) injuries per 100,000 people. Deaths are counted in the county of residence for the person who died, rather than the county where the death occurred. A missing value is reported for counties with fewer than 10 injury deaths in the time frame.
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Pillar: Responsible and Just Governance

Predictor: Political participation

Metric: Share of the voting-age population who turn out to vote
Philadelphia, Pennsylvania
% voting 65.0%
Quality Strong
Source: Massachusetts Institute of Technology Election Data and Science Lab, 2020; US Census Bureau’s 2020 5-Year American Community Survey Citizen Voting Age Population Special Tabulation. (Time period: 2016-20)


Metric: Share of the voting-age population who turn out to vote+
Philadelphia, Pennsylvania
% voting 65.0%
Quality Strong
Source: Massachusetts Institute of Technology Election Data and Science Lab, 2020; US Census Bureau’s 2020 5-Year American Community Survey Citizen Voting Age Population Special Tabulation. (Time period: 2016-20)
Notes: This metric measures the share of the citizen voting-age population that voted in the most recent presidential election.

The Confidence Interval for this metric is not applicable.


Metric: Share of the voting-age population who turn out to vote+
Year Philadelphia, Pennsylvania
% voting 2020 65.0%
Quality 2020 Strong
% voting 2016 63.2%
Quality 2016 Strong
Source: Massachusetts Institute of Technology Election Data and Science Lab, 2016 & 2020; US Census Bureau’s 2016 & 2020 5-Year American Community Survey Citizen Voting Age Population Special Tabulation. (Time periods: 2012-16 & 2016-20)
Notes: This metric measures the share of the citizen voting-age population that voted in the most recent presidential election.

The Confidence Interval for this metric is not applicable.
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Predictor: Descriptive Representation

Metric: Ratio of the share of local elected officials of a racial or ethnic group to the share of residents of the same racial or ethnic group.Part of this metric is shown. See the notes for information on finalizing this metric.+
Philadelphia, Pennsylvania
Other Races/Ethnicities __:11%
Black, non-Hispanic __:40%
Hispanic __:15%
White, non-Hispanic __:34%
Source: US Census Bureau’s 2021 5-Year American Community Survey. (Time period: 2017-21)
Notes: Shown are the share of that racial or ethnic group in your community. The community will need to calculate the missing percentages in order to complete the descriptive representation metric. See the Planning Guide (pg. 27) on how to calculate the missing percentage. Say that of your 10 elected officials, nine are White, non-Hispanic and your community’s population is half White, non-Hispanic, the metric will read as “90.0%:50.0%.” If the share of local officials is higher than the share of people in the community, then this group is over-represented. If the share of local officials is lower than the share of people in the community, then this group is under-represented. We are presenting this as a ratio of percentages because it provides important context.

The quality index reflects the data quality only of the given value.

The Confidence Interval for this metric is not applicable.
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Predictor: Safety from Crime

Metric: Reported property crimes per 100,000 people and reported violent crimes per 100,000 people
Philadelphia, Pennsylvania
Violent crime 1,698.4
Property crime 4,197.2
Quality Marginal
Source: Federal Bureau of Investigations (FBI) National Incident Based Reporting System (via Kaplan J (2021). National Incident-Based Reporting System (NIBRS) Data. https://nibrsbook.com/); US Census Bureau’s 2021 1-Year American Community Survey. (Time period: 2021)


Metric: Reported property crimes per 100,000 people and reported violent crimes per 100,000 people+
Philadelphia, Pennsylvania
Violent crime 1,698.4
Property crime 4,197.2
Quality Marginal
Source: Federal Bureau of Investigations (FBI) National Incident Based Reporting System (via Kaplan J (2021). National Incident-Based Reporting System (NIBRS) Data. https://nibrsbook.com/); US Census Bureau’s 2021 1-Year American Community Survey. (Time period: 2021)
Notes: Rates are calculated as the number of reported crimes against property or people per 100,000 people. Although these are the best national data source, communities should use their local data if they are available. The FBI cautions against using NIBRS data to rank or compare locales because there are many factors that cause the nature and type of crime to vary from place to place.

The Confidence Interval for this metric is not applicable.


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Predictor: Just policing

Metric: Juvenile arrests per 100,000 juveniles
Philadelphia, Pennsylvania
Juvenile arrest rate 727.8
Quality Marginal
Source: Federal Bureau of Investigations (FBI) National Incident Based Reporting System (via Kaplan J (2021). National Incident-Based Reporting System (NIBRS) Data. https://nibrsbook.com/); US Census Bureau’s 2021 1-Year American Community Survey. (Time period: 2021)


Metric: Juvenile arrests per 100,000 juveniles+
Philadelphia, Pennsylvania
Juvenile arrest rate 727.8
Quality Marginal
Source: Federal Bureau of Investigations (FBI) National Incident Based Reporting System (via Kaplan J (2021). National Incident-Based Reporting System (NIBRS) Data. https://nibrsbook.com/); US Census Bureau’s 2021 1-Year American Community Survey. (Time period: 2021)
Notes: The number of arrests of people aged 10 to 17, for any crime or status offense, per 100,000 people of that age. Because people can be arrested multiple times, the data reports the number of arrests and not people. Although these are the best national data source, communities should use their local data if it is available. The FBI cautions against using NIBRS data to rank or compare locales because there are many factors that cause the nature and type of crime to vary from place to place.

The Confidence Interval for this metric is not applicable.


Metric: Juvenile arrests per 100,000 juveniles+
Group Year Philadelphia, Pennsylvania
Juvenile arrest rate All 2021 NA, 727.8
Quality All 2021 NA, Marginal
Juvenile arrest rate Black 2021 NA
Quality Black 2021 NA
Juvenile arrest rate Black, Non-Hispanic 2021 1,247.5
Quality Black, Non-Hispanic 2021 Marginal
Juvenile arrest rate Hispanic 2021 388.0
Quality Hispanic 2021 Marginal
Juvenile arrest rate Other Races and Ethnicities 2021 NA
Quality Other Races and Ethnicities 2021 NA
Juvenile arrest rate Other races and ethnicities 2021 12.4
Quality Other races and ethnicities 2021 Marginal
Juvenile arrest rate White 2021 NA
Quality White 2021 NA
Juvenile arrest rate White, Non-Hispanic 2021 NA
Quality White, Non-Hispanic 2021 NA
Juvenile arrest rate White, Non-Hispanic, 2021 487.6
Quality White, Non-Hispanic, 2021 Marginal
Source: Federal Bureau of Investigations (FBI) National Incident Based Reporting System (via Kaplan J (2021). National Incident-Based Reporting System (NIBRS) Data. https://nibrsbook.com/); US Census Bureau’s 2021 1-Year American Community Survey. (Time period: 2021)
Notes: The number of arrests of people aged 10 to 17, for any crime or status offense, per 100,000 people of that age. Because people can be arrested multiple times, the data reports the number of arrests and not people. Although these are the best national data source, communities should use their local data if it is available. The FBI cautions against using NIBRS data to rank or compare locales because there are many factors that cause the nature and type of crime to vary from place to place.

Ethnicity is inconsistently collected and often missing in the data. Those of multiple races are only included in ‘Other Races.’

The Confidence Interval for this metric is not applicable.


Additional Notes on Data

Data Quality

“Strong” indicates that the metric is measured with adequate accuracy and sample size.
“Marginal” indicates that there are known shortcomings of the data for this metric for this community, and the metric should be used with caution.
“Weak” indicates that although the metric could be computed for this community, we have serious concerns about how accurately it is measured for this community and do not recommend its use. Instead, we recommend seeking more local data sources for this metric.



Confidence Intervals

Confidence intervals shown are 95 percent.
* This confidence interval is not available at this time.
+ A confidence interval is not applicable.
Lower/Upper bound: The data used to construct this metric do not lend themselves to conventional confidence intervals. The value of the metric shown represents are best estimate; the lower and upper bounds represent alternative estimates of the metric under different assumptions about missing data.

“NC” in fields for confidence intervals or lower/upper bounds means that we are not able to calculate this because the underlying data lack variation.

Missing and Suppressed Values

“NA” in fields for metric values and data quality values indicates that the data are suppressed due to sample sizes or because that element is not applicable to that community (e.g., no zip code in the county is majority non-white).


Version: 2023-04-11 17:02:49